Let's Meet: A Smartphone Co-Navigation System Based on Relative Direction and Proximity Change for Indoor Environments

摘要

Indoor navigation systems are important to many location-based services. Most existing systems require pre-trained databases, extra beacons and/or detailed indoor layout, which are rather expensive and cumbersome. In this paper, we propose a co-navigation system called Let's Meet to help two users to meet up with each other without incurring such burdensome requirements. In particular, the proposed system provides real-time movement instructions for two users based on the estimated users' relative direction and proximity change. Two modes are defined in the Let's Meet for computing relative direction and proximity change during the co-navigation process. In the far mode, the satellites data are exploited to provide the users with the relative direction and proximity change estimation; In the near mode, a decision factor that quantifies the change of access points and their signals to estimate the proximity change. In addition, trajectories of both users are presented in real-time during the navigation process to provide intuitive instructions for users. We have implemented the system on the Android platform and tested its effectiveness in practical indoor environments.